Data Scientist 140 views2 applications

The role will focus on delivering high-quality professional services to Teradata’s global customers. Typical responsibilities include –

§  Engage with Teradata account teams and prospective customers to analyze and understand customer requirements.

§  Understand customer business use cases and translate them to analytical data applications and models with a vision on how to implement a solution.

§  Clearly communicate the business and technical benefits of the analytic solutions to both business and technical audiences.

§  Work on POC and Pilot Projects to showcase the benefits of Advanced Analytics and Big Data Technologies to customers.

§  Use Analytical/Statistical tools; like SAS, TDWM, KXEN, SPSS, R etc., to deliver the innovative analytic solutions to our customers.

§  Leverage knowledge in analytics, machine learning and statistical analysis to help customers explore methods to analyze data to make better business decisions.

§  Work in close coordination with Advanced Analytics teams in other GDC centers.

§  Work with other GDC and Teradata teams to produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs.

§  Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.


Basic Requirements

§  Minimum of 5 to 8 years’ experience in some or all of the following: data analysis, data modeling, data integration, business intelligence, sales/pre-sales.


§  Strong expertise in data analysis and data mining is highly desirable.

§  Mandatory Strong expertise in writing SQL.

§  Strong experience in Advanced Analytics techniques, such as statistical modeling, machine learning, and natural language processing will be a big plus.

§  Experience leading 3rd party and open source analytic technologies (e.g. Teradata, SAS, Hadoop, Spark) is desirable.

§  Experience in open source languages such as R and Python (using scikit-learn, statsmodels, NumPy and SciPy libraries) is desirable.

§  Experience in using other analytical tools like SPSS, MATLAB, or STATA will be a plus. Experience in Spark MLlib or Mahout a plus.

Soft Skills

§  Intellectually curious.

§  Excellent written and oral communication skills.

§  Must demonstrate the ability to articulate complex technical concepts to non-technical people.

§  Eager to learn; develop expertise in areas outside of core comfort zone.

§  Ability to learn technology quickly through instruction and self-training.

§  Must be passionate, self-motivated, results driven, and able to work with minimum supervision.

§  Strong leadership skills; demonstrate the ability to positively influence a group of people.

§  Excellent team player.

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